It is believed that purposefully constructed learning communities can have academic, social, and motivational advantages for its participants. In an effort to improve graduation and retention of students, some HBCUs have sought new ways to construct learning environments that are conducive to the learning styles of students of color. This study sought to investigate the impact of a learning community on pre-college level students standardized test scores and final grades. The Repeated Measures One-Way ANOVA revealed a statistically significant difference in COMPASS score change between groups with the comparison group demonstrating a greater change than did the learning community group. In addition, Analysis of Covariance test was used to answer the research question regarding differences in final grades between the two groups. After adjusting for the COMPASS pre-test, there was no difference in final grades between groups. Using the Motivated Strategies for Learning Questionnaire (MSLQ), a Likert-type scale based on the Eccles et al. (1983) expectancy-value motivational model, three components of students motivation were investigated: task value, extrinsic value, and test anxiety. The Independent Samples t-Test was used to compare the means. There was a statistically significant mean difference in extrinsic value with the students enrolled in traditionally taught pre-college level English courses demonstrating more extrinsic motivation. There was a statistically significant mean difference in task value with students enrolled in the learning community demonstrating higher task value than the comparison group. Finally, there was a statistically significant mean difference in affect with students in the learning community group demonstrating more test anxiety. Conclusions and recommendations were presented for future research.
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-5311 |
Date | 01 January 2010 |
Creators | White, Jontoinette |
Publisher | STARS |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Electronic Theses and Dissertations |
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